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To prepare for the AWS Certified DevOps Engineer - Professional exam, candidates should have experience working with AWS services and should have a strong understanding of DevOps principles and practices. Candidates should also be familiar with continuous integration and continuous delivery (CI/CD) tools and should have experience with infrastructure as code (IAC) tools such as CloudFormation and Terraform. Additionally, candidates should be familiar with monitoring and logging tools such as CloudWatch and should have a strong understanding of security and compliance best practices.

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To become an AWS Certified DevOps Engineer - Professional, candidates must have at least two years of experience working with AWS and a strong understanding of various AWS services such as EC2, S3, RDS, and Lambda. They should also have experience with DevOps practices such as Continuous Integration and Continuous Deployment (CI/CD), Infrastructure as Code (IaC), and Configuration Management.

The AWS Certified DevOps Engineer - Professional exam covers a wide range of topics, including deployment automation, monitoring, logging, and performance optimization. It also includes topics related to security, compliance, and governance. DOP-C01 Exam is designed to validate a candidate's ability to design, deploy, and manage scalable and fault-tolerant systems on AWS.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q415-Q420):

NEW QUESTION # 415
A publishing company used AWS Elastic Beanstalk, Amazon S3, and Amazon DynamoDB to develop a web application. The web application has increased dramatically in popularity, resulting in unpredictable spikes in traffic. A DevOps Engineer has noted that 90% of the requests are duplicate read requests.
How can the Engineer improve the performance of the website?

A. Use DynamoDB Accelerator to cache repeated read requests to DynamoDB and Amazon CloudFront to cache images stored in S3.
B. Use DynamoDB Streams to cache repeated read requests to DynamoDB and API Gateway to cache images stored in S3.
C. Use Amazon ElastiCache for Redis to cache repeated read requests to DynamoDB and AWS Elemental MediaStore to cache images stored in S3.
D. Use Amazon ElastiCache for Memcached to cache repeated read requests to DynamoDB and Varnish to cache images stored in S3.

Answer: C

NEW QUESTION # 416
A Solutions Architect is designing a solution to store a large quantity of event data in Amazon S3. The
Architect anticipates that the workload will consistently exceed 100 requests each second.
What should the Architect do in Amazon S3 to optimize performance?

A. Use Amazon S3 Transfer Acceleration.
B. Store the event data in separate buckets.
C. Randomize the key name suffix.
D. Randomize a key name prefix.

Answer: D

Explanation:
Explanation
Reference https://docs.aws.amazon.com/AmazonS3/latest/dev/request-rate-perf-considerations.html

NEW QUESTION # 417
Your application stores sensitive information on an EBS volume attached to your EC2 instance. How can you protect your information? Choose two answers from the options given below

A. It is not possible to encrypt an EBS volume, you must use a lifecycle policy to transfer data to S3 for encryption.
B. Create and mount a new, encrypted Amazon EBS volume. Move the data to the new volume. Delete the old Amazon EBS volume *t
C. Unmount the EBS volume, take a snapshot and encrypt the snapshot. Re-mount the Amazon EBS volume
D. Copy the unencrypted snapshot and check the box to encrypt the new snapshot. Volumes restored from this encrypted snapshot will also be encrypted.

Answer: B,D

Explanation:
These steps are given in the AWS documentation
To migrate data between encrypted and unencrypted volumes
1) Create your destination volume (encrypted or unencrypted, depending on your need).
2) Attach the destination volume to the instance that hosts the data to migrate.
3) Make the destination volume available by following the procedures in Making an Amazon EBS Volume Available for Use. For Linux instances, you can create a mount point at /mnt/destination and mount the destination volume there.
4) Copy the data from your source directory to the destination volume. It may be most convenient to use a bulk-copy utility for this.
To encrypt a volume's data by means of snapshot copying
1) Create a snapshot of your unencrypted CBS volume. This snapshot is also unencrypted.
2) Copy the snapshot while applying encryption parameters. The resulting target snapshot is encrypted.
3) Restore the encrypted snapshot to a new volume, which is also encrypted.
For more information on EBS Encryption, please refer to the below document link: from AWS
http://docs.aws.a mazon.com/AWSEC2/latest/UserGuide/ EBSEncryption.html

NEW QUESTION # 418
You work for a company that automatically tags photographs using artificial neural networks (ANNs), which run on GPUs using C++. You receive millions of images at a time, but only 3 times per day on average. These images are loaded into an AWS S3 bucket you control for you in a batch, and then the customer publishes a JSON-formatted manifest into another S3 bucket you control as well. Each image takes 10 milliseconds to process using a full GPU. Your neural network software requires 5 minutes to bootstrap. Image tags are JSON objects, and you must publish them to an S3 bucket. Which of these is the best system architectures for this system?

A. Make an S3 notification configuration which publishes to AWS Lambda on the manifest bucket.
Make the Lambda create a CloudFormation Stack which contains the logic to construct an autoscaling worker tier of EC2 G2 instances with the ANN code on each instance. Create an SQS queue of the images in the manifest. Tear the stack down when the queue is empty.
B. Create an Auto Scaling, Load Balanced Elastic Beanstalk worker tier Application and Environment.
Deploy the ANN code to G2 instances in this tier. Set the desired capacity to 1. Make the code periodically check S3 for new manifests. When a new manifest is detected, push all of the images in the manifest into the SQS queue associated with the Elastic Beanstalk worker tier.
C. Deploy your ANN code to AWS Lambda as a bundled binary for the C++ extension. Make an S3 notification configuration on the manifest, which publishes to another AWS Lambda running controller code. This controller code publishes all the images in the manifest to AWS Kinesis.
Your ANN code Lambda Function uses the Kinesis as an Event Source. The system automatically scales when the stream contains image events.
D. Create an OpsWorks Stack with two Layers. The first contains lifecycle scripts for launching and bootstrapping an HTTP API on G2 instances for ANN image processing, and the second has an always-on instance which monitors the S3 manifest bucket for new files. When a new file is detected, request instances to boot on the ANN layer. When the instances are booted and the HTTP APIs are up, submit processing requests to individual instances.

Answer: A

Explanation:
The Elastic Beanstalk option is incorrect because it requires a constantly-polling instance, which may break and costs money.
The Lambda fleet option is incorrect because AWS Lambda does not support GPU usage. The OpsWorks stack option both requires a constantly-polling instance, and also requires complex timing and capacity planning logic.
The CloudFormation option requires no polling, has no always-on instances, and allows arbitrarily fast processing by simply setting the instance count as high as needed.
http://docs.aws.amazon.com/lambda/latest/dg/current-supported-versions.html

NEW QUESTION # 419
A company has migrated its container-based applications to Amazon EKS and want to establish automated email notifications. The notifications sent to each email address are for specific activities related to EXS components. The solution will include Amazon SNS topics and an AWS Lambda function to evaluate incoming log events and publish messages to the correct SNS topic.
Which logging solution will support these requirements?

A. Enable Amazon S3 logging for the EKS components. Configure an Amazon CloudWatch subscription filter for each component with Lambda as the subscription feed destination.
B. Enable Amazon S3 logging for the EKS components. Configure S3 PUT Object event notifications with AWS Lambda as the destination.
C. Enable Amazon CloudWatch Logs to log the EKS components. Create CloudWatch Logs Insights queries linked to Amazon CloudWatch Events events that trigger Lambda.
D. Enable Amazon CloudWatch Logs to log the EKS components. Create a CloudWatch subscription filter for each component with Lambda as the subscription feed destination.

Answer: C

NEW QUESTION # 420
......

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